Gas-path fault diagnosis for aero-engine based on variable weighted least-squares

LU Feng; HUANG Jin-quan; KONG Xiang-tian

Chinese

您当前的位置：

首页 >

文章列表页 >

Gas-path fault diagnosis for aero-engine based on variable weighted least-squares

更新时间：2026-07-07

- Gas-path fault diagnosis for aero-engine based on variable weighted least-squares
- Vol. 26, Issue 10, (2011)
- 作者机构：
  
  南京航空航天大学能源与动力学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
LU Feng, HUANG Jin-quan, KONG Xiang-tian. Gas-path fault diagnosis for aero-engine based on variable weighted least-squares[J]. 2011, 26(10).
DOI：

LU Feng, HUANG Jin-quan, KONG Xiang-tian. Gas-path fault diagnosis for aero-engine based on variable weighted least-squares[J]. 2011, 26(10). DOI：

摘要

针对航空发动机气路部件故障诊断中存在的严重故障诊断问题

提出基于变权重最小二乘法进行发动机故障诊断.该方法在发动机仿真实验的基础上采用加权最小二乘法进行故障诊断

并对算法进行了改进

根据初期诊断结果对故障权重系数矩阵进行修正

使诊断结果更加合理可信.仿真表明

基于变权重最小二乘法的发动机气路故障诊断能快捷有效地诊断气路部件严重故障.

Abstract

A method of variable weighted least-squares was presented to solve the problem of large deviation in aero-engine gas-path fault diagnosis.Weighted least-squares was adopted and improved by correcting the weight coefficient matrix depending on the initial diagnosis result.Simulation on a turbofan engine shows that this method can provide meaningful and verified diagnosis of severe fault with more believable results.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Development path and future trend of carrier-based advanced trainer engine

Thermal protection effectiveness of thermal barrier coatings in turbine blade applications

Aero-engine cycle design approach for multiple operating conditions performance reliability

Relationship between rotor/vanes blade number andnodal diameter number of bladed-disk coupling vibration

ptimum design of rotor structure layout and its mechanical properties

Related Author

PENG Yunlong

WU Xiong

DING Ting

ZHU Jianqin

ZHAO Chaofan

QIU Lu

曹大录

白广忱

Related Institution

National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics,School of Energy and Power Engineering,Beijing University of Aeronautics and Astronautics

北京航空航天大学能源与动力工程学院

中国航天科技集团有限公司中国空间技术研究院北京卫星制造厂

中国航空发动机集团有限公司中国航空发动机研究院

中国航空发动机集团有限公司沈阳发动机研究所

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰